{"id":"W4252513431","doi":"10.22215/etd/2012-07153","title":"An application layer approach to cognitive radio networks using SIP messaging","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Telecommunications; Wireless","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001189773,0.0006244114,0.0003267954,0.0005521731,0.0009507132,0.003293837,0.001569399,0.001118849,0.003611934],"category_scores_gemma":[0.001423979,0.0004111535,0.0006542927,0.0004171149,0.000716528,0.001781569,0.001365902,0.002003348,0.001562352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153352,"about_ca_system_score_gemma":0.0008425576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257929,"about_ca_topic_score_gemma":0.001490701,"domain_scores_codex":[0.9990158,0.0003113339,0.00006194835,0.00009502684,0.0004161938,0.00009965111],"domain_scores_gemma":[0.9993271,0.0001845649,0.00003025742,0.0001980536,0.0002047769,0.0000552889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002491253,0.0003465751,0.0007063395,0.0003746373,0.0001277653,0.0008988325,0.0009050109,0.01931285,0.07576154,0.5994284,0.01523473,0.2866542],"study_design_scores_gemma":[0.00005617147,0.0003616057,0.0007130612,0.0001891035,0.0002224752,0.001350437,0.0003188896,0.5088943,0.06001889,0.1577297,0.2700303,0.0001151054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005637941,0.0008649959,0.9434772,0.0008635996,0.0005035879,0.000200465,0.00003467259,0.001967199,0.04645035],"genre_scores_gemma":[0.3862064,0.002696587,0.5411829,0.001226086,0.0009048304,0.0005356409,0.0001749418,0.000329247,0.06674343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003611934,"threshold_uncertainty_score":0.01208311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231375629695123,"score_gpt":0.2863473269735132,"score_spread":0.2632097640040009,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}